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Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control.

Suchana Chakravarty1, Rong Zhang1, Xiao-Jun Tian1

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We developed new gene circuit control strategies to reduce expression noise caused by resource competition. The negatively competitive regulation (NCR) controller effectively minimizes this noise, leading to more robust synthetic biology systems.

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Area of Science:

  • Synthetic Biology
  • Systems Biology
  • Genetic Engineering

Background:

  • Gene circuits in the same cell face resource competition, leading to transcriptional and translational coupling.
  • This coupling introduces significant noise into gene expression, impacting circuit reliability.
  • Developing strategies to mitigate resource-driven noise is crucial for robust synthetic gene circuit design.

Purpose of the Study:

  • To design and evaluate novel multi-module antithetic control strategies for reducing gene expression noise.
  • To specifically address noise arising from resource competition in co-localized gene circuits.
  • To compare the efficacy of negatively competitive regulation (NCR) controllers against local and global controllers.

Main Methods:

  • Stochastic simulations were employed to model gene circuit dynamics under resource constraints.
  • Fluctuation-Dissipation Theorem (FDT) analysis was used to quantify noise levels and assess controller performance.
  • Three distinct multi-module antithetic control strategies were designed and simulated.

Main Results:

  • The negatively competitive regulation (NCR) antithetic controller demonstrated superior performance in reducing gene expression noise compared to other strategies.
  • Resource competition was identified as a significant contributor to noise, and NCR effectively attenuated this effect.
  • Simulations and FDT analysis confirmed the noise-reducing capabilities of the proposed NCR controller.

Conclusions:

  • The NCR antithetic controller offers an effective strategy for attenuating resource-driven noise in gene circuits.
  • This work provides valuable insights for designing more robust and reliable synthetic gene circuits.
  • The developed control strategies have implications for advancing synthetic biology applications requiring precise gene expression control.